| 点群多尺度表达不确定性评估方法研究 |
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| 引用本文： | 牛继强,徐丰,姚高伟.点群多尺度表达不确定性评估方法研究[J].测绘科学,2011,36(4):75-77. |
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| 作者姓名： | 牛继强 徐丰 姚高伟 |
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| 作者单位： | 信阳师范学院城市与环境科学学院,河南信阳,464000 |
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| 基金项目： | 国家自然科学基金，河南省教育厅自然科学研究计划项目，信阳师范学院青年骨干教师资助计划 |
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| 摘 要： | 空间数据的不确定性评估是保证数据质量的重要手段.由于点群多尺度表达的不确定性非常复杂,评价指标和评估模型是点群多尺度表达不确定性评估需要亟待解决的关键问题.本文围绕点群的多尺度表达和空间分析流程,确立了点群多尺度表达不确定性的评估内容为位置不确定性和空间分析结论的不确定性,建立了点群及其多尺度表达位置不确定性的评价指标...
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| 关 键 词： | 点群 多尺度表达 数据不确定性 位置数据 空间分布 |
Assessment on uncertainty of multi-scale representation for point cluster |
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| NIU Ji-qiang,XU Feng,YAO Gao-wei.Assessment on uncertainty of multi-scale representation for point cluster[J].Science of Surveying and Mapping,2011,36(4):75-77. |
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| Authors: | NIU Ji-qiang XU Feng YAO Gao-wei |
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| Institution: | (School of Urban and Environmental Science,Xinyang Normal University,Henan Xinyang 464000,China) |
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| Abstract: | Assessment of uncertainty for spatial data is an important means to ensure the spatial data quality.Because of the complexity on the multi-scale expression uncertainty for point cluster,the index and model is an essential issue for assessment of multi-scale expression uncertainty on point cluster.Based on the flow of multi-scale expression of point group and spatial analysis,this paper ascertained the assessment content of multi-scale expression uncertainty for point group that includes the uncertainty of position and spatial analysis.The assessment indicator K and the quantitative model of the position uncertainty of point cluster and its multi-scale representation were established.According as the error propagation law,this paper deduced the assessment method of spatial analysis in different scale for point cluster.Finally,the change rule of uncertainty for point cluster in the course of scale-extend and spatial analysis were gained.This study made up for the weakness of existing research,and it also provided theoretical foundation for the quality assessment of geographic point cluster data on multi-scale representation.Meanwhile,it would be the reference standards for quality control and spatial decisions. |
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| Keywords: | point cluster multi-scale representation data uncertainty location data spatial distribution |
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